In one embodiment, a driving scenario is identified for a next movement for an autonomous vehicle, where the driving scenario is represented by a set of one or more predetermined parameters. A first next movement is calculated for the autonomous vehicle using a physical model corresponding to the driving scenario. A sideslip predictive model is applied to the set of predetermined parameters to predict a sideslip of the autonomous vehicle under the driving scenario. A second next movement of the autonomous vehicle is determined based on the first next movement and the predicted sideslip of the autonomous vehicle. The predicted sideslip is utilized to modify the first next movement to compensate the sideslip. Planning and control data is generated for the second next movement and the autonomous vehicle is controlled and driven based on the planning and control data.

A system for monitoring vehicle dynamics and detecting adverse events during operation is presented. Position sensors attached to a vehicle are configured to identify a vehicle orientation (heading) as well as the vehicle's direction of travel (trajectory). A system controller connected to these position sensors can detect the difference between these two measurements. When the difference between these two measurements exceeds a safety threshold, it can be an indication of a slip event. A slip event can be caused by compromised traction or stability and may lead to a loss of vehicle control. The system controller can be configured to monitor various vehicle dynamics to detect these slip events. The system controller may be configured to track geolocations of slip events to create a database of historical slip events for determining location-based risk factors and prevention of future events.

A system for monitoring vehicle dynamics and detecting adverse events during operation is presented. Position sensors attached to a vehicle are configured to identify a vehicle orientation (heading) as well as the vehicle's direction of travel (trajectory). A system controller connected to these position sensors can detect the difference between these two measurements. When the difference between these two measurements exceeds a safety threshold, it can be an indication of a slip event. A slip event can be caused by compromised traction or stability and may lead to a loss of vehicle control. The system controller can be configured to monitor various vehicle dynamics to detect these slip events. The system controller may be configured to track geolocations of slip events to create a database of historical slip events for determining location-based risk factors and prevention of future events.

This application provides a vehicle status parameter estimation method and apparatus, and relates to the field of automotive control technologies. The method includes: obtaining driving status data of a vehicle, a first process status x, and a first process covariance Q; determining a second process covariance Q(k) and a first measurement covariance R(k) based on the driving status data of the vehicle; obtaining a first measurement value y.sub.h of a vehicle sensor; and determining a vehicle status parameter of the vehicle based on the first measurement value y.sub.h, the first process status x, the first process covariance Q, the second process covariance Q(k), and the first measurement covariance R(k).

In a method for front-rear driving torque distribution of a vehicle, a controlling apparatus determines an expected status parameter existing during steering of a vehicle based on a wheel angle of the vehicle. The controlling apparatus determines a current correction yawing moment based on an actual status parameter existing during the steering of the vehicle and the expected status parameter, and determines a mapping relationship between a correction yawing moment and a torque distribution coefficient based on the wheel angle and acceleration information of the vehicle. The controlling apparatus then determines a torque distribution coefficient of the vehicle based on the current correction yawing moment and the mapping relationship, and determines front and rear axle driving torques of the vehicle based on the torque distribution coefficient of the vehicle.

Disclosed is a computer-implemented method for determining a lane/road keeping maneuver of a host vehicle. The computer-implemented method includes determining at least one traveling trajectory of the host vehicle. The method includes detecting a lane boundary of a lane or a road boundary of a road that the host vehicle is traveling. The method includes determining, based on the at least one traveling trajectory and the lane/road boundary, whether at least one triggering condition for performing the lane/road keeping maneuver is met. The method includes performing the lane/road keeping maneuver to maintain the host vehicle within a predefined distance from the lane/road boundary.

A method for setting an anticipator module with which a control device controls the trajectory of a motor vehicle is equipped includes detecting whether the anticipator module is unsuitable during a turn by taking account of a lateral deviation with respect to an ideal trajectory and/or a contribution of a feedback module of the control device, determining primary parameters, calculating a secondary parameter by an optimization-based calculation method taking account of the determined primary parameters, and updating a bicycle model of the vehicle by taking account of the calculated secondary parameter.

A method for determining a slip limit value for a wheel of a vehicle. The slip limit value is used for controlling the operation of the vehicle. The method comprises setting the slip limit value to be smaller than a high slip limit value for a majority of an operating time of the vehicle. The method also determines whether or not the vehicle assumes an infrequent manoeuvre condition in which the vehicle carries out an infrequent manoeuvre and/or or is predicted to carry out an infrequent manoeuvre within a predetermined time range, and in response to determining that the vehicle assumes the infrequent manoeuvre condition, setting the slip limit value to the high slip limit value.

A method for controlling motion of a heavy-duty vehicle, the method including: obtaining input data related to one or more parameters of a tire on the heavy-duty vehicle, determining at least part of the one or more tire parameters based on the input data, configuring a tire model, wherein the tire model defines a relationship between wheel slip and generated wheel force, wherein the tire model is parameterized by the one or more tire parameters, and controlling the motion of the heavy-duty vehicle based on the relationship between wheel slip and generated wheel force.

A method for detecting a situation of loss of grip of a vehicle provided with a steering system operated by a steering wheel, the method including a step (a) of evaluating a first indicator of loss of grip (P1) by calculating, as the first indicator of loss of grip (P1), the partial derivative $\left(P1=\frac{\stackrel{.}{}}{}\right),$
relative to a variable () representative of the angular position of the steering wheel, of a driving parameter which is representative of the yaw rate ({dot over ()}) of the vehicle.